Evidence map›Paper›PMID 40646603›Full record

ArticleClinical epigenetics2025

Multiple highly methylated CpG sites as potential epigenetic markers for the diagnosis of prostate cancer.

Jean-Pierre Roperch, Guillaume Charbonnier, Sandy Figiel, Alastair Lamb, Ian Mills, Claude Hennion, Géraldine Cancel-Tassin, Olivier Cussenot

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Article in Clinical epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jean-Pierre Roperch *Oncodiag, 9 Rue de Pacy, 27930, Miserey, France. roperch@oncodiag.fr.
Guillaume Charbonnier *Xegen, Gémenos, France.
Sandy FigielNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Alastair LambNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Ian MillsNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Claude HennionOncodiag, 9 Rue de Pacy, 27930, Miserey, France.
Géraldine Cancel-TassinCeRePP, Paris, France.
Olivier CussenotNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate cancer (PCa) remains the leading cause of cancer deaths in men. The prostate-specific antigen (PSA) test is widely used for PCa screening, but it lacks specificity and can lead to over-diagnosis and over-treatment. New, effective and affordable markers are therefore needed.

resultsUsing enzymatic methyl sequencing (EM-Seq), methylation-specific PCR (MS-PCR), and transcriptomics including a spatial approach, we analyzed tumor and non-tumor samples from radical prostatectomy specimens. Comprehensive methylome was performed in 15 paired samples of prostate cancer and their adjacent non-tumor tissue by EM-Seq. From over 4-million differentially methylated CpG sites, we identified 66 CpGs sites representing eight genes: CLDN5, GSTP1, NBEAL2, PRICKLE2, SALL3, TAMALIN/GRASP, TJP2, and TMEM106A which were hypermethylated in PCa tissues (p-value < 0.0001), and were confirmed by MS-PCR. A very good correlation between EM-Seq and MS-PCR results was observed (Pearson's correlation of 0.93). Differential expression of these candidate genes was analyzed first, using an Affymetrix RNA array dataset from a cohort of 68 non-tumor samples and 101 tumors with different aggressiveness patterns and, second, by in situ expression using Visium 10X spatial genomics transcriptomics on eight prostate tissue sections with different tumor grades and non-tumor glands. Lower expression level was found, using RNA arrays, in tumor compared to non-tumor tissues for six of the eight genes (p ≤ 0.0001) and in tumor glands with high aggressiveness compared to non-tumor glands (p <  0.0001) for the eight genes using in situ transcriptomics.

conclusionsOur study identifies promising DNA methylation markers for the diagnosis of prostate cancer.

Indexed as

Biomarkers, TumorCpG IslandsDNA MethylationProstatic NeoplasmsAgedEpigenesis, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedProstatectomySequence Analysis, DNABiomarkers, TumorEpigenetic DNA markersMethylation-specific PCRMethylome sequencingProstate cancer

Identifiers

PMID40646603
PMCPMC12247388

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